Li-Ming Gan

Molecular Biology · 2019

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Li-Ming Gan trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Yoav Benjamini
  2. Leland McInnes
  3. Vân Anh Huynh-Thu
  4. Aaron T. L. Lun
  5. Daehwan Kim
  6. Rasko Leinonen
  7. Tom S. Smith
  8. Andrew W. Butler
  9. S. Picelli

Papers from Li-Ming Gan's perspective

Ordered by how strongly the researchers Li-Ming Gan trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Quantitative single-cell RNA-seq with unique molecular identifiers (Nature Methods)
  2. Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets
  3. iRegulon: From a Gene List to a Gene Regulatory Network Using Large Motif and Track Collections (PLoS Comput. Biol.)
  4. Integrating single-cell transcriptomic data across different conditions, technologies, and species
  5. UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
  6. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  7. The Sequence Alignment/Map format and SAMtools (Bioinform.)
  8. The technology and biology of single-cell RNA sequencing. (Molecules and Cells)
  9. Inferring Regulatory Networks from Expression Data Using Tree-Based Methods
  10. HISAT: a fast spliced aligner with low memory requirements (Nature Methods)

Their papers